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Optimization Of Tool Motion On A 2-Dimensional Surface By Means Of The Genetic Algorithm


Crljenko, Domagoj; Barišić, Branimir; Car, Zlatan
Optimization Of Tool Motion On A 2-Dimensional Surface By Means Of The Genetic Algorithm // Proceedings of the 5th International DAAAM Conference Advanced Technologies for Developing Countries-ATDC 2006 / Mikac, T. ; Katalinić, B (ur.).
Rijeka: University of Rijeka-Faculty of Engineering, DAAAM International Vienna, 2006. str. 159-164 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Optimization Of Tool Motion On A 2-Dimensional Surface By Means Of The Genetic Algorithm

Autori
Crljenko, Domagoj ; Barišić, Branimir ; Car, Zlatan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 5th International DAAAM Conference Advanced Technologies for Developing Countries-ATDC 2006 / Mikac, T. ; Katalinić, B - Rijeka : University of Rijeka-Faculty of Engineering, DAAAM International Vienna, 2006, 159-164

ISBN
953-6326-45-0

Skup
Advanced Technologies for Developing Countries- ATDC 2006

Mjesto i datum
Rijeka, 28-30.6.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
The tool path ; optimization ; 2-D surface problem

Sažetak
The genetic algorithm as compared to the stochastic method, finds out in substantially shorter time quite a satisfactory solution. Such an obtained solution need not necessarily be the very best solution, unlike the stochastic method, which will give the best solution, but in a much longer time span. This genetic algorithm may be implemented while defining the best paths of motions between two given points on a 2-D geometric surface with the aim of crossing the whole surface. Apart from surface processing by milling, the algorithm could also be used in other scientific fields and branches such as optimized path of aerial spraying to optimized robot movement in painting, as well as in various aspects of distribution.The researches into the genetic algorithm for optimization will be carried on in the future time by adding technological parameters in defining the path qualities.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Strojarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove
Tehnički fakultet, Rijeka